Descripción de la oferta
What You’ll Do Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods Define best practices and standards for experimentation, modelling, and analytical excellence across teams Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities Develop and deploy scalable models and data products that drive measurable business outcomes Mentor and coach other data scientists and analysts, helping them deliver higher-impact work Communicate insights and recommendations to senior leadership, influencing product and growth strategy Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale You’ll Thrive In This Role If You Have a deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically Are fluent in Python, SQL, and modern data/ML tooling Have experience bringing ML models into production and measuring their long-term business impact Are skilled at translating complex technical findings into actionable business insights Are a collaborative leader who mentors peers and sets high standards for analytical rigor and impact Have 7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech‑lead capacity Nice to Have Experience in marketplace or pricing systems (supply–demand modelling, matching, or fraud detection) Experience leading data science guilds, chapters, or communities of practice Familiarity with MLOps, feature stores, or causal inference frameworks We’re all about building a diverse, inclusive team where everyone feels safe, seen and celebrated. Different backgrounds, perspectives, and vibes? Bring it on. That’s how we grow. #J-18808-Ljbffr
